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A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and
  Generalization
v1v2 (latest)

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization

18 April 2023
Peifeng Gao
Qianqian Xu
Peisong Wen
Huiyang Shao
Zhiyong Yang
Qingming Huang
ArXiv (abs)PDFHTML

Papers citing "A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry and Generalization"

6 / 6 papers shown
Title
Linguistic Collapse: Neural Collapse in (Large) Language Models
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
Vardan Papyan
250
27
0
28 May 2024
Deep Neural Network Models Trained With A Fixed Random Classifier
  Transfer Better Across Domains
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains
Hafiz Tiomoko Ali
Umberto Michieli
J. Moon
Daehyun Kim
Mete Ozay
AAML
165
2
0
28 Feb 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss
Neural Collapse in Multi-label Learning with Pick-all-label LossInternational Conference on Machine Learning (ICML), 2023
Pengyu Li
Xiao Li
Yutong Wang
Qing Qu
293
12
0
24 Oct 2023
Generalized Neural Collapse for a Large Number of Classes
Generalized Neural Collapse for a Large Number of ClassesInternational Conference on Machine Learning (ICML), 2023
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
261
36
0
09 Oct 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive
  Loss: The Impact of ReLU and Batching
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and BatchingInternational Conference on Learning Representations (ICLR), 2023
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
Jaidev Gill
Christos Thrampoulidis
280
3
0
13 Jun 2023
Principled and Efficient Transfer Learning of Deep Models via Neural
  Collapse
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse
Xiao Li
Sheng Liu
Jin-li Zhou
Xin Lu
C. Fernandez‐Granda
Zhihui Zhu
Q. Qu
AAML
365
22
0
23 Dec 2022
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